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  1. Frederick S. Ellett Jr & David P. Erickson (2010). Motivation and Learning. In Richard Bailey (ed.), The Sage Handbook of Philosophy of Education. Sage Publication.
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  2. Frederick S. Ellett (2010). Leonard J. Waks (Ed): Leaders in Education: Intellectual Self-Portraits. Studies in Philosophy and Education 29 (3):315-320.
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  3. Frederick S. Ellett (2002). Why Aren't Philosophers and Educators Speaking to Each Other? Some Reasons for Hope. Educational Theory 52 (3):315-325.
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  4. Frederick S. Ellett & David P. Ericson (1997). In Defense of Public Reason: On the Nature of Historical Rationality. Educational Theory 47 (2):133-161.
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  5. David P. Ericson & Frederick S. Ellett (1987). Teacher Accountability and the Causal Theory of Teaching. Educational Theory 37 (3):277-293.
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  6. Frederick S. Ellett (1986). Research on Emotion: How Can It Be Done? Educational Theory 36 (2):115-124.
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  7. Frederick S. Ellett & David P. Ericson (1986). Correlation, Partial Correlation, and Causation. Synthese 67 (2):157-173.
    Philosophers and scientists have maintained that causation, correlation, and partial correlation are essentially related. These views give rise to various rules of causal inference. This essay considers the claims of several philosophers and social scientists for causal systems with dichotomous variables. In section 2 important commonalities and differences are explicated among four major conceptions of correlation. In section 3 it is argued that whether correlation can serve as a measure of A's causal influence on B depends upon the conception of (...)
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  8. Frederick S. Ellett Jr & David P. Ericson (1985). Causal Laws and Laws of Association. Noûs 19 (4):537 - 549.
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  9. Frederick S. Ellett (1985). Psychological Terms, Logical Positivism, and Realism: Issues Related to Construct Validation. Educational Theory 35 (3):273-284.
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  10. Frederick S. Ellett (1984). Bayesian Confirmation and Interpretation. Educational Theory 34 (2):175-182.
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  11. Frederick S. Ellett & David P. Ericson (1983). The Logic of Causal Methods in Social Science. Synthese 57 (1):67-82.
    Two kinds of causal inference rules which are widely used by social scientists are investigated. Two conceptions of causation also widely used are explicated — the INUS and probabilistic conceptions of causation. It is shown that the causal inference rules which link correlation, a kind of partial correlation, and a conception of causation areinvalid. It is concluded anew methodology is required for causal inference.
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